kognitaFor Automation
Kognita’s managed agent runtime can be called from a webhook. Point Jira, your helpdesk, alerting, or CI at a trigger, and a codebase-grounded agent investigates, answers, and closes the loop without anyone opening a chat.
09:14:02jira
SUP-1182 created: “Refund not showing in customer wallet”
09:14:02trigger
POST /triggers/invoke → 202 Accepted
09:14:19agent
Traced refund flow: API → refund service → wallet ledger job
09:15:40agent
Wallet sync runs hourly. Refund is pending, not lost.
09:15:52jira
Comment posted with explanation · moved to Resolved
agent triggers
Kognita already hosts a managed agent for every project, with your indexed code, connected databases, Jira, and MCP tools. A trigger gives that agent a URL, so other systems can hand it work and it can act on its own.
In your Kognita project, open Triggers and describe the job in plain language: what the agent should look at, and where it should deliver the result.
Copy the URL and headers into a Jira automation rule, a support tool, an alerting platform, a CI job, or a script. Any system that can send a POST can call it.
The gateway answers 202 instantly. In the background, the agent searches the semantic layer, reads code, queries connected data, and checks ticket history.
The agent comments on the ticket, transitions it, sends an email, or calls a connected tool. Every run is logged with request, response, and timing.
auto-resolve tickets
A large share of tickets never needed an engineer. They are questions about how the system behaves, and the answer is already in the code. Kognita answers those end to end. For real bugs, it hands engineering a diagnosis instead of a blank ticket.
resolved by the agent
Expected behavior
The report describes how the system is designed to work. The agent explains why, with evidence from the code, and resolves the ticket.
How-to and config questions
Customers or teammates ask how a feature works or which setting controls it. The agent answers from the implementation, not stale docs.
Duplicates
The agent finds the existing issue, links it, and closes the new one with a pointer to where work is already happening.
Missing information
The report is too vague to act on. The agent asks for exactly the details needed, such as account, environment, or steps to reproduce.
real bugs: diagnosed and routed
Likely code path
The services, functions, jobs, and tables involved, traced through the semantic layer.
Supporting data
Read-only queries against connected databases to confirm what actually happened.
Owner and impact
Which area of the system it belongs to and what else depends on it.
Suggested fix
A concrete starting point, so engineering begins from a diagnosis instead of a blank ticket.
example setup
In Jira, add a Send web request action to a rule that fires when an issue is created. In Kognita, the trigger prompt tells the agent what to do with it. No code, no hosting.
jira automation · web request
POST https://agent.kognita.co/triggers/invoke
X-Kognita-Auth: <trigger-token>
X-Organisation-Id: <org-uuid>
X-Project-Id: <project-uuid>
{
"message": "New ticket {{issue.key}}: {{issue.summary}}\n\n{{issue.description.jsonEncode}}"
}kognita · trigger prompt
You triage new support tickets.
Investigate the codebase, connected data, and similar Jira issues.
If the behavior is expected or the question can be answered, comment with a clear explanation and move the ticket to Resolved.
If it is a duplicate, link the original and close it.
If it is a real bug, comment with the likely code path, affected services, and a suggested fix, then move it to Ready for Engineering.
what teams automate
Send a simple message, or point a tool’s native webhook straight at the trigger. The agent reads the payload, follows the prompt, and uses the same code, data, and tools available in chat.
jira automation
When an issue is created, the agent classifies it, answers what it can, and routes the rest with a diagnosis attached.
support escalation
Forward escalations from your helpdesk. The agent checks the implementation and replies before an engineer is pulled in.
incident alerts
Send alert payloads from your monitoring tool. The agent traces the likely code paths and recent relevant changes for whoever is on call.
ready for review
When a ticket moves to review, the agent comments with affected services, dependent flows, and what to test.
ci / pull requests
Trigger an investigation from CI when a change touches billing, auth, or other areas your team wants a second look at.
scheduled jobs
Call a trigger from a cron job to summarize what shipped this week or which open tickets touch the same code.
built-in guardrails
An agent acting on its own needs clear boundaries. Every trigger is scoped, every call is recorded, and data access stays read-only.
Each trigger has its own token in the X-Kognita-Auth header. Rotate one workflow without touching the others.
Status, HTTP code, request, response, errors, and duration for every call. The raw token is never stored.
Database queries through the agent are read-only and row-limited, and every query is logged.
Jira and other tool credentials belong to a single project, so one workflow cannot reach into another.
automation faq
Common questions about triggers, auto-resolving tickets, and keeping automated runs under control.
A trigger is an authenticated webhook URL attached to a Kognita project. Any system that can send a POST request (Jira automation, a support tool, an alerting platform, a CI job, or a cron script) can call it. Each trigger has its own token, system prompt, and model settings, and starts a run of the same managed agent your team uses in the browser.
Yes, for the many tickets that do not need a code change. Questions about expected behavior, configuration, how a feature works, duplicates, and reports missing key details can be answered, commented on, and transitioned by the agent through the Jira integration. For real bugs, the agent posts a diagnosis instead: the likely code path, affected services, relevant data, and a suggested fix, so an engineer starts from evidence.
No. The gateway validates the request and returns 202 Accepted with an invocation ID right away. The agent runs in the background, delivers its result through the tools in its prompt (such as a Jira comment or an email), and you can poll the invocation by ID if the caller needs the final status.
No. You can send a simple JSON body with a message field, or point a tool’s native webhook straight at the trigger. Kognita passes the raw payload to the agent, and the trigger prompt tells it how to interpret the event and what to do with it.
Every trigger has its own credential, so you can scope and rotate them per workflow. Every call is recorded in invocation history with status, request, response, errors, and timing. Database access through the agent is read-only and row-limited, and integration tokens are scoped to the project they were added to.
Anyone with access to the project. Triggers are created in the Kognita dashboard, and the prompt is written in plain language. A Jira admin can wire up an automation rule without touching the codebase or hosting anything.
for automation
Create a trigger, point a webhook at it, and let a codebase-grounded agent answer, resolve, and route tickets before anyone has to step in.